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Paper Abstract and Keywords
Presentation 2008-02-21 11:00
High-level feature extraction from video data using tree clustering
Taichi Nakamura, Koichi Shinoda, Sadaoki Furui (Tokyo Tech) PRMU2007-220
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a novel method using a tree-structured codebook and a node selection technique for high-level feature extraction from video data. We first quantize local SIFT descriptors to construct a tree-structred codebook shared among all the high-level features. Then, we select nodes to be used as visual words for each high-level feature. We also propose motion words which are defined as visual words with motion activities. We evaluate the proposed method using TRECVID 2006 and 2007 database. By selecting nodes, Mean Average Precision(MAP) improved from 0.097(baseline) to 0.100. By using the motion word, MAP father improved to 0.102. These results confirmed the effectiveness of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) Video annotation / High-level feature extraction / Object recognition / SIFT descriptor / Tree-structured clustering / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 491, PRMU2007-220, pp. 37-42, Feb. 2008.
Paper # PRMU2007-220 
Date of Issue 2008-02-14 (PRMU) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee PRMU  
Conference Date 2008-02-21 - 2008-02-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Univ. of Tsukuba 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2008-02-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) High-level feature extraction from video data using tree clustering 
Sub Title (in English)  
Keyword(1) Video annotation  
Keyword(2) High-level feature extraction  
Keyword(3) Object recognition  
Keyword(4) SIFT descriptor  
Keyword(5) Tree-structured clustering  
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1st Author's Name Taichi Nakamura  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
2nd Author's Name Koichi Shinoda  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
3rd Author's Name Sadaoki Furui  
3rd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
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Speaker Author-1 
Date Time 2008-02-21 11:00:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2007-220 
Volume (vol) vol.107 
Number (no) no.491 
Page pp.37-42 
#Pages
Date of Issue 2008-02-14 (PRMU) 


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